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TencentDB for PostgreSQL

DocumentaçãoTencentDB for PostgreSQLKernel Version IntroductionProprietary Kernel FeaturesProcess Monitoring

Process Monitoring

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Última atualização: 2026-08-12 11:22:11
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Feature Background

In general scenarios, client applications require not only overall monitoring information of the database instance but also process monitoring information within the instance to assess business health and make further business logic decisions. Typically, in SaaS scenarios, a tenant of a user exclusively uses a database within an instance. By monitoring the resource usage associated with the processes connected to the database, the business side can further evaluate the tenant's current health status and other conditions.

Preparing the Environment

The process monitoring feature is provided by the tencentdb_system_stat extension. You must create this extension in the target database before use.
1. Create the extension:
postgres=> CREATE EXTENSION IF NOT EXISTS tencentdb_system_stat;
CREATE EXTENSION
2. Verify that the extension is installed:
postgres=> SELECT extname, extversion FROM pg_extension WHERE extname = 'tencentdb_system_stat';
         extname          | extversion
--------------------------+------------
 tencentdb_system_stat    | 1.1
(1 row)

Viewing Process Monitoring

Process monitoring data is exposed externally through the system view tencentdb_process_system_usage. This view displays the CPU utilization and memory usage of each process, with one row per process.

Querying Monitoring Data for All Processes

postgres=> SELECT * FROM tencentdb_process_system_usage;
  pid  | usename  | datname  |         backend_type         |                       query                        | cpu_usage | memory_bytes
-------+----------+----------+------------------------------+----------------------------------------------------+-----------+--------------
 52962 |          |          | walwriter                    |                                                    |         0 |      7573504
 52964 | postgres |          | logical replication launcher |                                                    |         0 |      6135808
 52957 |          |          | io worker                    |                                                    |         0 |      5771264
 52960 |          |          | background writer            |                                                    |         0 |      5890048
 52959 |          |          | checkpointer                 |                                                    |         0 |     23977984
 52956 |          |          | io worker                    |                                                    |         0 |     12611584
 52958 |          |          | io worker                    |                                                    |         0 |      4235264
 26706 | root     | postgres | client backend               | SELECT * FROM tencentdb_process_system_usage;      |         0 |     17186816
(8 rows)

View Field Descriptions

Field Name
Type
Description
pid
integer
Process ID
usename
name
Username.
datname
name
Database name
backend_type
text
Process type, such as client backend, autovacuum worker, walwriter, checkpointer, background writer, logical replication launcher, and so on.
query
text
The SQL statement currently being executed (empty for background processes).
cpu_usage
real
CPU utilization during the current sampling period, ranging from 0.0 to 1.0 (that is, 0% to 100%).
memory_bytes
bigint
Memory usage (RSS) during the current sampling period, in bytes.
Note:
cpu_usage represents the CPU utilization at the sampling instant. It is the ratio of the CPU time consumed by the process between two sampling points to the total system CPU time, based on a single CPU core. When a single core is fully loaded, cpu_usage = 1.0. In multi-core parallel scenarios, it may be greater than 1.0.
memory_bytes represents the process's RSS (Resident Set Size), which is the total number of pages that the process actually resides in physical memory. This total includes shared memory (such as shared_buffers) but excludes swap.
Each query on the view blocks for approximately sampling_interval milliseconds to complete the calculation of the difference between two samples. The default value is about 1 second.

Filtering Processes by Condition

You can use standard SQL filter criteria to view the subset you are interested in.
Sort by CPU utilization to locate processes with high CPU consumption:
postgres=> SELECT pid, usename, datname, backend_type, cpu_usage, 
                  pg_size_pretty(memory_bytes) AS memory
           FROM tencentdb_process_system_usage
           ORDER BY cpu_usage DESC
           LIMIT 5;
   pid   | usename  | datname  |         backend_type         | cpu_usage |  memory
---------+----------+----------+------------------------------+-----------+----------
   52962 |          |          | walwriter                    |         0 | 7396 kB
   52959 |          |          | checkpointer                 |         0 | 22 MB
   26706 | root     | postgres | client backend               |         0 | 17 MB
   52956 |          |          | io worker                    |         0 | 12 MB
   52964 | postgres |          | logical replication launcher |         0 | 5992 kB
(5 rows)
Sort by memory usage to locate processes with high memory consumption:
postgres=> SELECT pid, usename, datname, backend_type, 
                  pg_size_pretty(memory_bytes) AS memory, cpu_usage
           FROM tencentdb_process_system_usage
           ORDER BY memory_bytes DESC
           LIMIT 5;
   pid   | usename  | datname  |         backend_type         |  memory  | cpu_usage
---------+----------+----------+------------------------------+----------+-----------
   52959 |          |          | checkpointer                 | 22 MB    |         0
   26706 | root     | postgres | client backend               | 17 MB    |         0
   52956 |          |          | io worker                    | 12 MB    |         0
   52962 |          |          | walwriter                    | 7396 kB  |         0
   52964 | postgres |          | logical replication launcher | 5992 kB  |         0
(5 rows)
Group statistics by process type:
postgres=> SELECT backend_type, count(*) AS cnt
           FROM tencentdb_process_system_usage
           GROUP BY backend_type
           ORDER BY cnt DESC;
         backend_type         | cnt
------------------------------+-----
 io worker                    |   3
 walwriter                    |   1
 autovacuum launcher          |   1
 client backend               |   1
 background writer            |   1
 checkpointer                 |   1
 logical replication launcher |   1
(7 rows)
Filter processes for a specific tenant by database name:
postgres=> SELECT pid, usename, backend_type, cpu_usage, 
                  pg_size_pretty(memory_bytes) AS memory, 
                  substring(query, 1, 60) AS query_preview
           FROM tencentdb_process_system_usage
           WHERE datname = 'your_database';
 pid | usename | datname | backend_type | cpu_usage | memory | query_preview
-----+---------+---------+--------------+-----------+--------+---------------
(0 rows)

Parameter Description

The tencentdb_system_stat extension provides the following parameters to control sampling behavior. This parameter is at the sighup level. After being modified, it must take effect through the console. It cannot be modified using the SET command within an SQL session.

tencentdb_system_stat.sampling_interval

Attribute
Value
Description
CPU utilization sampling interval
Type
integer
Unit
Millisecond (ms)
Default
1000
Value Range
100 ~ 2147483
Note:
Each time you query the tencentdb_process_system_usage view, the kernel performs two CPU time samples for each process. The interval between these two samples is the duration specified by this parameter. CPU utilization is calculated by dividing the difference between the two samples by the sampling interval. A shorter interval makes the sampling results more reflective of the instantaneous load and reduces the query's own wait time. A longer interval results in smoother sampling data but increases the query duration accordingly. For latency-sensitive scenarios, you can appropriately reduce this value.
Modification Method: Log in to the Tencent Cloud console, navigate to TencentDB for PostgreSQL > Instance Management > Parameter Settings, search for the parameter tencentdb_system_stat.sampling_interval, modify it to the target value, and save the changes. For detailed operations, see Setting Instance Parameters.

Scenarios

Tenant Load Analysis in SaaS Multi-Tenant Scenarios

In a SaaS multi-tenant architecture, where different tenants connect to different databases, you can assess each tenant's resource consumption by filtering and aggregating CPU and memory metrics by datname:
postgres=> SELECT datname, count(*) AS connection_count,
                  sum(cpu_usage) AS total_cpu,
                  pg_size_pretty(sum(memory_bytes)::bigint) AS total_memory
           FROM tencentdb_process_system_usage
           WHERE datname IS NOT NULL
           GROUP BY datname
           ORDER BY sum(memory_bytes) DESC;

Locating Session Resource Consumption for Slow Queries

By combining the query field, you can quickly identify which session the currently executing SQL corresponds to and how much CPU and memory it consumes:
postgres=> SELECT pid, usename, datname, cpu_usage, 
                  pg_size_pretty(memory_bytes) AS memory,
                  substring(query, 1, 100) AS query_preview
           FROM tencentdb_process_system_usage
           WHERE query IS NOT NULL AND query <> ''
           ORDER BY memory_bytes DESC;

FAQs

Q: Why Is There a 1-Second Delay When a View Is Queried?

CPU utilization is calculated from the difference between two samples. The wait time between these two samples is determined by the tencentdb_system_stat.sampling_interval parameter (default: 1000 ms). This is normal behavior. If you are sensitive to latency, you can reduce this parameter. However, an excessively small sampling interval reduces the precision of the CPU utilization calculation.

Q: Why Are the usename, datname Fields Empty for Some Processes?

The tencentdb_process_system_usage view associates process information through an inner join with pg_stat_activity. If A process is not present in pg_stat_activity (such as system background processes like walwriter and checkpointer), the corresponding fields in this view will be empty. To include all processes, use the tencentdb_process_system_usage_all view.

Q: Does memory_bytes Include Shared Memory (shared_buffers)?

Yes, it does. memory_bytes represents the process's RSS, which includes all resident physical memory pages mapped by the process, encompassing shared memory segments such as the PostgreSQL shared buffers.

Q: Why Are Some Processes Not Monitored?

During A sampling period, only processes that are still alive at the end of the sampling are counted. As shown in the following diagram, Process 1 and Process 5 are not counted.


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